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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs COLING 2025 Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention ACL 2025 Bridging the LLM Accessibility Divide? Performance, Fairness, and Cost of Closed versus Open LLMs for Automated Essay Scoring ACL 2025 Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video Retrieval AAAI 2025 Bridging the Sky and Ground: Towards View-Invariant Feature Learning for Aerial-Ground Person Re-Identification ICCV 2025 Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models AAAI 2025 Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior CVPR 2025 Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning AAAI 2025 BridG MT: Enhancing LLMs’ Machine Translation Capabilities with Sentence Bridging and Gradual MT ACL 2025 BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression NAACL 2025 BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages ACL 2025 Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW Images AAAI 2025 Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis CVPR 2025 Bringing Ladin to FLORES+ EMNLP 2025 Bringing Pedagogy into Focus: Evaluating Virtual Teaching Assistants’ Question-Answering in Asynchronous Learning Environments EMNLP 2025 Bring Your Own Knowledge: A Survey of Methods for LLM Knowledge Expansion ACL 2025 Browsing Like Human: A Multimodal Web Agent with Experiential Fast-and-Slow Thinking ACL 2025 BSAFusion: A Bidirectional Stepwise Feature Alignment Network for Unaligned Medical Image Fusion AAAI 2025 BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach ICML 2025 B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners ICLR 2025 BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP ICLR 2025 BuDDIE: A Business Document Dataset for Multi-task Information Extraction COLING 2025 Budget Allocation Exploiting Label Correlation between Instances UAI 2025 Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling ICLR 2025 BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments AISTATS 2025